Abstract
Provided algorithm allows to generate variants of learning paths that include subsets of small modules of educational material. Learning paths optimization method based on the ontological approach is considered. To form the optimal learning path algorithm is proposed. an algorithm Ant colony behavior is used as a model. The distinctive feature is a graphical representation of the learning path suitable for analysis of obtained results.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bova, V.V.: Conceptual model of knowledge representation when building intelligent information systems. Izvestiya of SFedU. Eng. Sci. 7(120), 109–117 (2014)
Norenkov, I.P.: Ontological methods of electronic textbook synthesis. J. Res. Pract. “Otkrytoe Obrazovanie” 6, 39–44 (2010)
Kravchenko, Yu.A., Markov, V.V.: Ontological approach for building information resources on the basis of diverse knowledge sources. Izvestiya of SFedU Eng. Sci. 7(144), 116–120 (2013)
Norenkov, I.P., Sokolov, N.K.: Synthesis of individual learning paths in ontological teaching systems. Informatsionnie Tekhnologii 3, 74–77 (2009)
Telnov, Yu.F.: Intelligent Information Systems, p. 26. Moscow State University of Economics, Statistics and Informatics, Moscow (2003)
Lebedev, O.B.: Models of Adaptive Behavior of Ant Colony in Design Tasks. SFedU Publishing House, Taganrog (2013)
Lebedev, B.K., Lebedev, V.B.: Optimization by crystallisation of alternatives deposit. Izvestiya SFedU 7, 11–17 (2013). TTI SFedU Publishing House
Lebedev, B.K., Lebedev, O.B.: Modelling of adaptive behavior of ant colony when searching solutions interpreted by trees. Izvestiya SFedU 7, 27–35 (2012). TTI SFedU Publishing House
Acknowledgements
This research is supported by grant of the Russian Science Foundation (project # 14-11-00242) in the Southern Federal University.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Lebedev, B.K., Lebedev, O.B., Kudryakova, T.Y. (2017). Application of Ontological Approach for Learning Paths Formation. In: Silhavy, R., Senkerik, R., Kominkova Oplatkova, Z., Prokopova, Z., Silhavy, P. (eds) Artificial Intelligence Trends in Intelligent Systems. CSOC 2017. Advances in Intelligent Systems and Computing, vol 573. Springer, Cham. https://doi.org/10.1007/978-3-319-57261-1_11
Download citation
DOI: https://doi.org/10.1007/978-3-319-57261-1_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-57260-4
Online ISBN: 978-3-319-57261-1
eBook Packages: EngineeringEngineering (R0)